rank 排名着色，提交结果流光效果
Codeforces Visual Enhancer (Dynamic Elo Tier) is a userscript that augments the Codeforces interface with dynamic, contest-aware rank visualization and subtle visual feedback enhancements.
The script computes relative rank tiers based on the actual number of participants in a contest rather than relying on static thresholds. Each participant’s rank is mapped to a dynamic percentile-based tier (LGM, GM, Master, etc.), ensuring that rank colors and tier boundaries remain meaningful even in unusually small or large contests.
Rank thresholds automatically scale with participant count, providing fair and consistent tier segmentation across contests of different sizes.
The rank column is recolored according to the dynamically computed tier, closely matching Codeforces’ native rating color semantics while reflecting actual contest difficulty.
For each participant, the script displays the tier’s rank interval (A–B) and the user’s relative progress percentage within that tier, allowing quick assessment of competitive position at a glance.
Tier information is injected without breaking the original table layout, and adapts automatically to column order changes.
Submission verdicts (Accepted, Wrong Answer, etc.) are enhanced with lightweight animated shine effects to improve readability and visual feedback, without affecting layout stability.
Overall, this plugin is designed for users who care about relative performance, ranking structure, and clean visual signals, offering deeper insight into contest standings while preserving the original Codeforces experience.
The rank colors shown by this plugin are not guaranteed to be strictly accurate representations of official Codeforces rating tiers, and they are not intended to replace the platform’s Elo-based rating system. Instead, they are designed to provide a motivational and reflective reference during contests.
On Codeforces, each rating tier contains a different number of users and represents a certain level of long-term competitive strength. In a contest setting, it is reasonable to make a simplifying assumption: the distribution of solved problems in a contest roughly mirrors the distribution of rating strength on the platform. Under this assumption, achieving a certain top percentile in a contest can be loosely associated with the corresponding rating-level performance.
From this perspective, rank-based color tiers in a single contest should be viewed as a temporary performance snapshot, not an absolute judgment. They help answer a simple question:
In this contest, did I perform at the level I expected of myself?
This is where their motivational value lies.
For example, if your current rating color is cyan (Specialist), but your contest rank falls into the blue (Expert) tier, this usually indicates a strong performance and a high probability of rating gain. However, Codeforces rating changes are determined by your own Elo and the relative performance of other participants. Therefore, rank color alone should not be overinterpreted. Even matching your “expected” color does not guarantee a gain, and achieving a higher color does not guarantee safety from rating loss.
Conversely, extreme underperformance is often the most dangerous scenario. A contestant with cyan-level (Specialist) ability finishing at a much lower tier—such as green (Pupil) or even gray (Newbie)—may suffer a significant rating drop. These large losses typically occur when the contest result deviates drastically from one’s expected performance range.
For practical self-evaluation, many of these external factors can be temporarily set aside. What matters more is a simpler and more personal perspective:
Did I reach the tier that corresponds to my current level?
Did I exceed it, or fall short?
Was there one more problem I could have solved to reach my target tier?
By ignoring uncontrollable factors such as network issues or execution speed, this approach encourages a healthier competitive mindset: focus on effort, problem-solving quality, and whether you truly pushed yourself during the contest.
The animated shine effects applied to verdicts are purely aesthetic. Clear and visually rewarding feedback for successful submissions can make the contest experience more enjoyable, and may bring a small sense of calm and satisfaction during intense competitions.
